Integrated simulation-optimisation of pull control systems

Giulia Pedrielli, Arianna Alfieri, Andrea Matta

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

Pull policies are considered to be among the most efficient control strategy. Setting the correct parameters to maximise their efficiency is, however, not a trivial task. Simulation-optimisation techniques have received particular attention as a means to solve this problem. Nevertheless, they require the iterative solution of an optimisation model to generate the parameter values and a discrete event simulator to evaluate the resulting system performance. In the framework of simulation-optimisation, this paper proposes a combined solution of the optimisation and simulation problems for the optimal operation of pull control systems under several control strategies. Numerical experiments were performed to evaluate the performance of the proposed technique.

Original languageEnglish (US)
Pages (from-to)4317-4336
Number of pages20
JournalInternational Journal of Production Research
Volume53
Issue number14
DOIs
StatePublished - Jul 18 2015
Externally publishedYes

Keywords

  • mathematical programming
  • optimization
  • production control
  • pull systems
  • simulation

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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